Data Scientist (Retail Pricing)

Job Summary

A company is looking for a Data Scientist (Retail Pricing) to lead dynamic pricing and optimization efforts for an e-commerce channel.

Key Responsibilities

• Lead the development and implementation of advanced dynamic pricing models
• Conduct statistical analyses and machine learning modeling for price recommendations
• Design and execute experiments to measure the impact of pricing decisions

Required Qualifications

• Advanced degree (MS or PhD) in a relevant field such as Mathematics or Data Science
• 4-6+ years of retail pricing expertise, including elasticity modeling and competitive pricing
• 4-6+ years of experience in advanced statistical modeling and machine learning
• 5+ years of proficiency in experimental design and analysis
• 5+ years of expert-level skills in Python and SQL for data manipulation and model building